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Record W4361025226 · doi:10.1097/spv.0000000000001344

Postoperative Urinary Retention

2023· article· en· W4361025226 on OpenAlexaff
Colleen D. McDermott, Elena Tunitsky-Bitton, Omar Felipe Dueñas-García, Marcella G. Willis‐Gray, Lauren A. Cadish, Autumn L. Edenfield, Rui Wang, Kate V. Meriwether, Elizabeth R. Mueller

Bibliographic record

VenueUrogynecology · 2023
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsUrinary retentionMedicineDelphi methodStatement (logic)Urinary systemDelphiSurgeryInternal medicineComputer science

Abstract

fetched live from OpenAlex

ABSTRACT: This clinical consensus statement on the management of postoperative (<6 weeks) urinary retention (POUR) reflects statements drafted by content experts from the American Urogynecologic Society's POUR writing group. The writing group used a modified Delphi process to evaluate statements developed from a structured literature search and assessed for consensus. After the definition of POUR was established, a total of 37 statements were assessed in the following 6 categories: (1) incidence of POUR, (2) medications, (3) patient factors, (4) surgical factors, (5) urodynamic testing, and (6) voiding trials. Of the 37 original statements, 34 reached consensus and 3 were omitted.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.294
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2023
Admission routes1
Has abstractyes

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